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Journal of Quantitative Description: Digital Media, 2021 Although correction is often suggested as a tool against misinformation, and empirical research suggests it can be an effective one, we know little about how people perceive the act of correcting people on social media.
Leticia Bode, Emily Vraga
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Community gifting groups on Facebook
Journal of Quantitative Description: Digital Media, 2023 We use de-identified data from Facebook Groups to study and provide a descriptive analysis of local gift-giving communities, in particular Buy Nothing groups. These communities allow people to give items they no longer need, reduce waste, and connect to
Amaç Herdağdelen +2 more
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Political content and news are polarized but other content is not in YouTube watch histories
Journal of Quantitative Description: Digital Media, 2023 Research on ideological biases and polarization on social media platforms primarily focuses on news and political content. Non-political content, which is vastly more popular, is often overlooked.
Magdalena Wojcieszak +2 more
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Traditional Media, Twitter, and Four Business Scandals
Journal of Quantitative Description: Digital Media, 2023 We examine how traditional media and Twitter cover four business scandals: Wells Fargo fake accounts, EpiPen pricing hikes, Samsung Note 7 faulty battery, and Volkswagen’s cheating in emission tests.
John Jiang, Michael Shen
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Journal of Quantitative Description: Digital Media, 2023 News consumption in the United States is polarized and fragmented, with an abundance of partisan news publications appealing to political identities on both the left and the right.
Andrea Lorenz +3 more
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Journal of Quantitative Description: Digital Media, 2022 Throughout the COVID-19 crisis, as we confronted questions about social distancing, masking wearing, and vaccines, public safety experts warned that the consequences of a misinformed population would be particularly dire due to the serious nature of the
Masha Krupenkin +3 more
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Characterizing the Reaction of Doctors to COVID-19 on Twitter
Journal of Quantitative Description: Digital Media, 2022 With the surge of the Delta variant of COVID-19, clear public health messaging on social media has become more vital than ever. We demonstrate how unique Twitter data can be used to explore doctors’ reactions to the early months of the COVID-19 pandemic.
Katie Hsia, Edward Kong
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Journal of Quantitative Description: Digital Media, 2022 A growing body of literature has noted an age pattern in the sharing of false news in social media, with older people sharing more often misinformation than younger users.
Marcio Moretto +8 more
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Journal of Quantitative Description: Digital Media, 2022 How did the 2020 coronavirus pandemic affect people's online news consumption? To understand this, we present a comparative analysis of data on an estimated 905B desktop and mobile visits to news outlets, and 54B Facebook engagements, generated by news ...
Sacha Altay +2 more
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Pandemics, Protests, and Publics
Journal of Quantitative Description: Digital Media, 2021 As an integral component of public discourse, Twitter is among the main data sources for scholarship in this area. However, there is much that scholars do not know about the basic mechanisms of public discourse on Twitter, including the prevalence of ...
Sarah Shugars +8 more
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